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Elektronika ir ElektrotechnikaVolume 26, Issue 2, 28 April 2020, Pages 59-68

Measurement of event-related brain potentials (ERP) amplitude and latency based on digital stochastic measurement over interval(Article)(Open Access)

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  • aFaculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, Novi Sad, 21000, Serbia
  • bDepartment of Electrical Engineering, Bialystok University of Technology, Wiejska 45D St., Bialystok, 15-351, Poland

Abstract

In this paper, the measurement of event-related brain potentials (ERP) amplitude and latency based on digital stochastic measurement over interval (DSMI) method are described. Different variations of the measurement system are considered. It was found that measurement errors of amplitude increase with the reduction of the examination time. However, the measurement errors for ERP peak latency remain relatively small. This makes the system useful for practical implementations when the latency is the most interesting parameter and requirements for a short measurement time are of high priority. © 2020 Kauno Technologijos Universitetas. All rights reserved.

Author keywords

Analog-digital conversionBiomedical measurementBrain: instrumentation and measurementNeuroscienceStochastic processes

Funding details

Funding sponsor Funding number Acronym
Politechnika BialostockaBUT

  • 1

    This research was funded by a Visegrad Scholarship Grant (No. 51910674). This research was performed in cooperation with the University of Novi Sad (Serbia) and Bialystok University of Technology (Poland).

  • ISSN: 13921215
  • Source Type: Journal
  • Original language: English
  • DOI: 10.5755/j01.eie.26.2.25755
  • Document Type: Article
  • Publisher: Kauno Technologijos Universitetas

  Walendziuk, W.; Department of Electrical Engineering, Bialystok University of Technology, Wiejska 45D St., Bialystok, Poland;
© Copyright 2020 Elsevier B.V., All rights reserved.

Cited by 1 document

Vujičić, V. , Kozarov, J.D. , Sovilj, P.
Mathematical Basis of the Stochastic Digital Measurement Method
(2022) Springer Proceedings in Mathematics and Statistics
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